docs: add editorconfig + formatting

This commit is contained in:
Ilkka Seppälä
2024-03-29 14:30:50 +02:00
parent f80cc468b2
commit 6322d538cd
23 changed files with 1823 additions and 1480 deletions
+177 -177
View File
@@ -3,9 +3,9 @@ title: Caching
category: Performance optimization
language: en
tag:
- Caching
- Performance
- Cloud distributed
- Caching
- Performance
- Cloud distributed
---
## Intent
@@ -24,9 +24,9 @@ again.
Real world example
> A team is working on a website that provides new homes for abandoned cats. People can post their cats on the website
> after registering, but all the new posts require approval from one of the site moderators. The user accounts of the site
> moderators contain a specific flag and the data is stored in a MongoDB database. Checking for the moderator flag each
> time a post is viewed becomes expensive, and it's a good idea to utilize caching here.
> after registering, but all the new posts require approval from one of the site moderators. The user accounts of the
> site moderators contain a specific flag and the data is stored in a MongoDB database. Checking for the moderator flag
> each time a post is viewed becomes expensive, and it's a good idea to utilize caching here.
In plain words
@@ -36,9 +36,9 @@ Wikipedia says:
> In computing, a cache is a hardware or software component that stores data so that future requests for that data can
> be served faster; the data stored in a cache might be the result of an earlier computation or a copy of data stored
> elsewhere. A cache hit occurs when the requested data can be found in a cache, while a cache miss occurs when it cannot.
> Cache hits are served by reading data from the cache, which is faster than recomputing a result or reading from a slower
> data store; thus, the more requests that can be served from the cache, the faster the system performs.
> elsewhere. A cache hit occurs when the requested data can be found in a cache, while a cache miss occurs when it
> cannot. Cache hits are served by reading data from the cache, which is faster than recomputing a result or reading
> from a slower data store; thus, the more requests that can be served from the cache, the faster the system performs.
**Programmatic Example**
@@ -53,24 +53,24 @@ to/from database.
@ToString
@EqualsAndHashCode
public class UserAccount {
private String userId;
private String userName;
private String additionalInfo;
private String userId;
private String userName;
private String additionalInfo;
}
public interface DbManager {
void connect();
void connect();
void disconnect();
void disconnect();
UserAccount readFromDb(String userId);
UserAccount readFromDb(String userId);
UserAccount writeToDb(UserAccount userAccount);
UserAccount writeToDb(UserAccount userAccount);
UserAccount updateDb(UserAccount userAccount);
UserAccount updateDb(UserAccount userAccount);
UserAccount upsertDb(UserAccount userAccount);
UserAccount upsertDb(UserAccount userAccount);
}
```
@@ -96,73 +96,73 @@ always at the end of the list.
@Slf4j
public class LruCache {
static class Node {
String userId;
UserAccount userAccount;
Node previous;
Node next;
static class Node {
String userId;
UserAccount userAccount;
Node previous;
Node next;
public Node(String userId, UserAccount userAccount) {
this.userId = userId;
this.userAccount = userAccount;
public Node(String userId, UserAccount userAccount) {
this.userId = userId;
this.userAccount = userAccount;
}
}
}
/* ... omitted details ... */
/* ... omitted details ... */
public LruCache(int capacity) {
this.capacity = capacity;
}
public UserAccount get(String userId) {
if (cache.containsKey(userId)) {
var node = cache.get(userId);
remove(node);
setHead(node);
return node.userAccount;
public LruCache(int capacity) {
this.capacity = capacity;
}
return null;
}
public void set(String userId, UserAccount userAccount) {
if (cache.containsKey(userId)) {
var old = cache.get(userId);
old.userAccount = userAccount;
remove(old);
setHead(old);
} else {
var newNode = new Node(userId, userAccount);
if (cache.size() >= capacity) {
LOGGER.info("# Cache is FULL! Removing {} from cache...", end.userId);
cache.remove(end.userId); // remove LRU data from cache.
remove(end);
setHead(newNode);
} else {
setHead(newNode);
}
cache.put(userId, newNode);
public UserAccount get(String userId) {
if (cache.containsKey(userId)) {
var node = cache.get(userId);
remove(node);
setHead(node);
return node.userAccount;
}
return null;
}
}
public boolean contains(String userId) {
return cache.containsKey(userId);
}
public void set(String userId, UserAccount userAccount) {
if (cache.containsKey(userId)) {
var old = cache.get(userId);
old.userAccount = userAccount;
remove(old);
setHead(old);
} else {
var newNode = new Node(userId, userAccount);
if (cache.size() >= capacity) {
LOGGER.info("# Cache is FULL! Removing {} from cache...", end.userId);
cache.remove(end.userId); // remove LRU data from cache.
remove(end);
setHead(newNode);
} else {
setHead(newNode);
}
cache.put(userId, newNode);
}
}
public void remove(Node node) { /* ... */ }
public boolean contains(String userId) {
return cache.containsKey(userId);
}
public void setHead(Node node) { /* ... */ }
public void remove(Node node) { /* ... */ }
public void invalidate(String userId) { /* ... */ }
public void setHead(Node node) { /* ... */ }
public boolean isFull() { /* ... */ }
public void invalidate(String userId) { /* ... */ }
public UserAccount getLruData() { /* ... */ }
public boolean isFull() { /* ... */ }
public void clear() { /* ... */ }
public UserAccount getLruData() { /* ... */ }
public List<UserAccount> getCacheDataInListForm() { /* ... */ }
public void clear() { /* ... */ }
public void setCapacity(int newCapacity) { /* ... */ }
public List<UserAccount> getCacheDataInListForm() { /* ... */ }
public void setCapacity(int newCapacity) { /* ... */ }
}
```
@@ -173,58 +173,58 @@ The next layer we are going to look at is `CacheStore` which implements the diff
@Slf4j
public class CacheStore {
private static final int CAPACITY = 3;
private static LruCache cache;
private final DbManager dbManager;
private static final int CAPACITY = 3;
private static LruCache cache;
private final DbManager dbManager;
/* ... details omitted ... */
/* ... details omitted ... */
public UserAccount readThrough(final String userId) {
if (cache.contains(userId)) {
LOGGER.info("# Found in Cache!");
return cache.get(userId);
public UserAccount readThrough(final String userId) {
if (cache.contains(userId)) {
LOGGER.info("# Found in Cache!");
return cache.get(userId);
}
LOGGER.info("# Not found in cache! Go to DB!!");
UserAccount userAccount = dbManager.readFromDb(userId);
cache.set(userId, userAccount);
return userAccount;
}
LOGGER.info("# Not found in cache! Go to DB!!");
UserAccount userAccount = dbManager.readFromDb(userId);
cache.set(userId, userAccount);
return userAccount;
}
public void writeThrough(final UserAccount userAccount) {
if (cache.contains(userAccount.getUserId())) {
dbManager.updateDb(userAccount);
} else {
dbManager.writeToDb(userAccount);
public void writeThrough(final UserAccount userAccount) {
if (cache.contains(userAccount.getUserId())) {
dbManager.updateDb(userAccount);
} else {
dbManager.writeToDb(userAccount);
}
cache.set(userAccount.getUserId(), userAccount);
}
cache.set(userAccount.getUserId(), userAccount);
}
public void writeAround(final UserAccount userAccount) {
if (cache.contains(userAccount.getUserId())) {
dbManager.updateDb(userAccount);
// Cache data has been updated -- remove older
cache.invalidate(userAccount.getUserId());
// version from cache.
} else {
dbManager.writeToDb(userAccount);
public void writeAround(final UserAccount userAccount) {
if (cache.contains(userAccount.getUserId())) {
dbManager.updateDb(userAccount);
// Cache data has been updated -- remove older
cache.invalidate(userAccount.getUserId());
// version from cache.
} else {
dbManager.writeToDb(userAccount);
}
}
}
public static void clearCache() {
if (cache != null) {
cache.clear();
public static void clearCache() {
if (cache != null) {
cache.clear();
}
}
}
public static void flushCache() {
LOGGER.info("# flushCache...");
Optional.ofNullable(cache)
.map(LruCache::getCacheDataInListForm)
.orElse(List.of())
.forEach(DbManager::updateDb);
}
public static void flushCache() {
LOGGER.info("# flushCache...");
Optional.ofNullable(cache)
.map(LruCache::getCacheDataInListForm)
.orElse(List.of())
.forEach(DbManager::updateDb);
}
/* ... omitted the implementation of other caching strategies ... */
/* ... omitted the implementation of other caching strategies ... */
}
```
@@ -239,50 +239,50 @@ the appropriate function in the `CacheStore` class.
@Slf4j
public final class AppManager {
private static CachingPolicy cachingPolicy;
private final DbManager dbManager;
private final CacheStore cacheStore;
private static CachingPolicy cachingPolicy;
private final DbManager dbManager;
private final CacheStore cacheStore;
private AppManager() {
}
public void initDb() { /* ... */ }
public static void initCachingPolicy(CachingPolicy policy) { /* ... */ }
public static void initCacheCapacity(int capacity) { /* ... */ }
public UserAccount find(final String userId) {
LOGGER.info("Trying to find {} in cache", userId);
if (cachingPolicy == CachingPolicy.THROUGH
|| cachingPolicy == CachingPolicy.AROUND) {
return cacheStore.readThrough(userId);
} else if (cachingPolicy == CachingPolicy.BEHIND) {
return cacheStore.readThroughWithWriteBackPolicy(userId);
} else if (cachingPolicy == CachingPolicy.ASIDE) {
return findAside(userId);
private AppManager() {
}
return null;
}
public void save(final UserAccount userAccount) {
LOGGER.info("Save record!");
if (cachingPolicy == CachingPolicy.THROUGH) {
cacheStore.writeThrough(userAccount);
} else if (cachingPolicy == CachingPolicy.AROUND) {
cacheStore.writeAround(userAccount);
} else if (cachingPolicy == CachingPolicy.BEHIND) {
cacheStore.writeBehind(userAccount);
} else if (cachingPolicy == CachingPolicy.ASIDE) {
saveAside(userAccount);
public void initDb() { /* ... */ }
public static void initCachingPolicy(CachingPolicy policy) { /* ... */ }
public static void initCacheCapacity(int capacity) { /* ... */ }
public UserAccount find(final String userId) {
LOGGER.info("Trying to find {} in cache", userId);
if (cachingPolicy == CachingPolicy.THROUGH
|| cachingPolicy == CachingPolicy.AROUND) {
return cacheStore.readThrough(userId);
} else if (cachingPolicy == CachingPolicy.BEHIND) {
return cacheStore.readThroughWithWriteBackPolicy(userId);
} else if (cachingPolicy == CachingPolicy.ASIDE) {
return findAside(userId);
}
return null;
}
}
public static String printCacheContent() {
return CacheStore.print();
}
public void save(final UserAccount userAccount) {
LOGGER.info("Save record!");
if (cachingPolicy == CachingPolicy.THROUGH) {
cacheStore.writeThrough(userAccount);
} else if (cachingPolicy == CachingPolicy.AROUND) {
cacheStore.writeAround(userAccount);
} else if (cachingPolicy == CachingPolicy.BEHIND) {
cacheStore.writeBehind(userAccount);
} else if (cachingPolicy == CachingPolicy.ASIDE) {
saveAside(userAccount);
}
}
/* ... details omitted ... */
public static String printCacheContent() {
return CacheStore.print();
}
/* ... details omitted ... */
}
```
@@ -293,42 +293,42 @@ Here is what we do in the main class of the application.
@Slf4j
public class App {
public static void main(final String[] args) {
boolean isDbMongo = isDbMongo(args);
if (isDbMongo) {
LOGGER.info("Using the Mongo database engine to run the application.");
} else {
LOGGER.info("Using the 'in Memory' database to run the application.");
public static void main(final String[] args) {
boolean isDbMongo = isDbMongo(args);
if (isDbMongo) {
LOGGER.info("Using the Mongo database engine to run the application.");
} else {
LOGGER.info("Using the 'in Memory' database to run the application.");
}
App app = new App(isDbMongo);
app.useReadAndWriteThroughStrategy();
String splitLine = "==============================================";
LOGGER.info(splitLine);
app.useReadThroughAndWriteAroundStrategy();
LOGGER.info(splitLine);
app.useReadThroughAndWriteBehindStrategy();
LOGGER.info(splitLine);
app.useCacheAsideStategy();
LOGGER.info(splitLine);
}
App app = new App(isDbMongo);
app.useReadAndWriteThroughStrategy();
String splitLine = "==============================================";
LOGGER.info(splitLine);
app.useReadThroughAndWriteAroundStrategy();
LOGGER.info(splitLine);
app.useReadThroughAndWriteBehindStrategy();
LOGGER.info(splitLine);
app.useCacheAsideStategy();
LOGGER.info(splitLine);
}
public void useReadAndWriteThroughStrategy() {
LOGGER.info("# CachingPolicy.THROUGH");
appManager.initCachingPolicy(CachingPolicy.THROUGH);
public void useReadAndWriteThroughStrategy() {
LOGGER.info("# CachingPolicy.THROUGH");
appManager.initCachingPolicy(CachingPolicy.THROUGH);
var userAccount1 = new UserAccount("001", "John", "He is a boy.");
var userAccount1 = new UserAccount("001", "John", "He is a boy.");
appManager.save(userAccount1);
LOGGER.info(appManager.printCacheContent());
appManager.find("001");
appManager.find("001");
}
appManager.save(userAccount1);
LOGGER.info(appManager.printCacheContent());
appManager.find("001");
appManager.find("001");
}
public void useReadThroughAndWriteAroundStrategy() { /* ... */ }
public void useReadThroughAndWriteAroundStrategy() { /* ... */ }
public void useReadThroughAndWriteBehindStrategy() { /* ... */ }
public void useReadThroughAndWriteBehindStrategy() { /* ... */ }
public void useCacheAsideStrategy() { /* ... */ }
public void useCacheAsideStrategy() { /* ... */ }
}
```